Field Notes
Designing agent systems that don’t break
Robust agentic systems depend less on clever prompting and more on clear structure, constrained interfaces, and failure-aware orchestration.
Agent systems fail in predictable ways. They lose context, overreach, mis-handle ambiguous state, or produce output that looks polished while quietly drifting away from the actual task.
The practical response is not more orchestration theater. It is tighter system design. That usually means narrower tool contracts, explicit task boundaries, fewer hidden assumptions, and an execution model that treats recovery as part of the primary path rather than an afterthought.
In practice, strong agentic products tend to share a few traits:
- state is visible and inspectable
- handoffs are constrained
- retries are deliberate rather than automatic
- evaluation is tied to user-facing correctness instead of generic benchmark optimism
The more expensive the failure mode, the more important it becomes to design around operational clarity. Reliability starts with making the system legible to the people building and maintaining it.